Title VILAS - SCA0825.pdf ✅

Supply Chain Analyst © Copyright by VILAS SUPPLY CHAIN ANALYST Course’s Objectives  This course ensures a cohesive and comprehensive learning experience, equipping students with the necessary skills to effectively integrate data analytics into various facets of logistics and supply chain management.  Understanding Data Analysis in Logistics and Supply Chain Management: gain a comprehensive understanding of the crucial role of data analysis in logistics and supply chain management.  Mathematical Knowledge for Data Analysis: acquire essential mathematical knowledge, including descriptive statistics and probability, for effective application in data analysis scenarios.  Proficiency in Excel for Data Analysis: develop proficiency in using Excel's data analysis tools, focusing on practical applications in logistics and supply chain contexts.  Data-Driven Storytelling Skills: learn and practice data-driven storytelling techniques to enhance communication and data interpretation skills.  Fundamentals of Supply Chain Management: develop a clear understanding of the foundational concepts in supply chain management.  Applying Data Analytics in Supply Chain: apply data analytics techniques across various aspects of the supply chain, including demand forecasting, supply planning, inventory management, procurement, and logistics optimization.  Sustainability and Resiliency in Supply Chains: gain familiarity with the concepts of sustainability and resilience in supply chains and explore the use of analytics in these emerging areas. Introduction 3